About this role
Job title: Quantitative Data Engineer
About the Role Susquehanna is seeking an experienced Quantitative Data Engineer to join our Prediction Markets team. You will design, code, and maintain our next-gen analysis and trading platform, collaborating with quantitative researchers and other developers to source, cleanse data, build data pipelines, and explore trading opportunities.
What You'll Do
- Source and cleanse data, develop and maintain data pipelines as required by quant research and trading.
- Assist with researching new trading opportunities.
- Develop, maintain and deploy interactive and packaged reports that will directly influence trading strategies.
- Performance-tune existing applications and processes, and improve data flows to enable efficient processing of large data sets.
What We're Looking For
- Experience with numeric data storage methodologies and processing of large and varied data sets.
- Ability to understand mathematical algorithms and develop high-performance implementations.
- Strong interpersonal and communication skills for interacting with traders, quantitative analysts, and other software developers.
- Proficiency in the Python data stack (NumPy, pandas, etc.) and solid understanding of Agile development methodologies.
- Experience with Kafka, Kubernetes and Cloud Computing is highly desired.
- Education: PhD/MS/BS in Computer Science or related STEM field or equivalent practical experience at the senior level.
- Interests: A keen interest in sports wagering, trading, and technology. Previous experience working within Trading, Sports Analytics or Sports Wagering industries is highly preferred.
- Attributes: Self-motivated, detail-oriented, and able to adapt to changing priorities. Excellent interpersonal and communication skills.
Nice to Have
- Previous experience in Trading, Sports Analytics or Sports Wagering industries is highly preferred.
Compensation & Benefits
- Perks: Excellent salary, benefits, and opportunities to attend world sporting events.